Content-Aware Convolutional Neural Networks

doi:doi:10.57702/ucnnaex5

Content-Aware Convolutional Neural Networks

Convolutional Neural Networks (CNNs) have achieved great success due to the powerful feature learning ability of convolution layers. Speciﬁcally, the standard convolution traverses the input images/features using a sliding window scheme to extract features.

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The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang (2024). Dataset: Content-Aware Convolutional Neural Networks. https://doi.org/10.57702/ucnnaex5

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2106.15797
Author	Yong Guo
More Authors	Yaofo Chen Mingkui Tan Kui Jia Jian Chen Jingdong Wang